What types of vision tasks can this skill perform?

This skill supports object detection, image classification, and image segmentation using the computer-vision-processor plugin.

Can I use this for detecting multiple objects in one image?

Yes, the object detection feature identifies multiple items and provides bounding boxes and labels for each detected object.

Does this skill require a specific command to run?

Yes, it utilizes the /process-vision command to execute the image analysis and return detailed results to the user.

What file formats are supported for image analysis?

The skill follows best practices for data validation and typically supports standard formats like JPEG and PNG, depending on the underlying plugin configuration.

Can the results be used in other coding tasks?

Absolutely. The output from this skill can be integrated with other scripts to generate reports, trigger alerts, or feed into larger data pipelines.

Computer Vision Processor

Name: Computer Vision Processor
Author: jeremylongshore

byjeremylongshore

•

883

Ciencia de Datos y ML

Analyzes and processes images using computer vision techniques like object detection, classification, and segmentation.

Acerca de

This skill enables Claude to perform advanced computer vision tasks by interfacing with a specialized processing plugin. It allows users to automate workflows involving image analysis, classification, and segmentation directly within the terminal environment. Whether you need to identify specific objects in a photo, categorize images for a machine learning dataset, or isolate regions of interest via segmentation, this skill provides the necessary tools and best practices to generate and execute Python-based vision processing code effectively using the /process-vision command.

Características Principales

High-accuracy image classification for categorizing visual content
883 GitHub stars
Automated object detection with bounding box and label generation
Precise image segmentation to identify and isolate specific regions
Seamless integration with the /process-vision plugin command
Automated Python code generation for custom vision processing workflows

Casos de Uso

Segmenting complex visual data to extract individual components for detailed analysis
Identifying and labeling specific objects or pedestrians within a collection of images
Classifying uploaded photos into predefined categories with confidence scores

Acerca de

Características Principales

High-accuracy image classification for categorizing visual content
883 GitHub stars
Automated object detection with bounding box and label generation
Precise image segmentation to identify and isolate specific regions
Seamless integration with the /process-vision plugin command
Automated Python code generation for custom vision processing workflows

Casos de Uso

Segmenting complex visual data to extract individual components for detailed analysis
Identifying and labeling specific objects or pedestrians within a collection of images
Classifying uploaded photos into predefined categories with confidence scores